GoPro (GPRO) Shares Outstanding (Diluted) (2013 - 2026)
GoPro (GPRO) reported Weighted Average Shares Outstanding (Diluted) of 171.23 million for Q2 2026, up 8.5% from 157.84 million a year earlier and up 4.9% from the prior quarter.
GoPro (GPRO) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, GoPro posted Weighted Average Shares Outstanding (Diluted) of 158.58 million, up 3.6% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 153.11 million in FY2024 (-0.2%), 153.35 million in FY2023 (-14.0%), 178.28 million in FY2022 (+9.3%) and 163.18 million in FY2021 (+9.5%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2022.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last six quarters, with growth averaging 3.4% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q1 2022 (growth of 24.0%); the low point was Q1 2023 (a decline of 17.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 163.21 million (Q1 2026), 158.58 million (Q4 2025) and 158.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.51 Bn | 28.96 Bn | 1.17 Bn | 141.52 Mn |
| 2 | Somnigroup International | 13.51 Bn | 13.06 Bn | 817.20 Mn | 212.50 Mn |
| 3 | Hni | 3.42 Bn | 2.90 Bn | 678.50 Mn | 72.50 Mn |
| 4 | Newell Brands | 2.33 Bn | 1.46 Bn | 649.00 Mn | 430.20 Mn |
| 5 | Arhaus | 2.02 Bn | 1.10 Bn | 172.07 Mn | 141.81 Mn |
| 6 | Whirlpool | 2.00 Bn | -1.64 Bn | 473.00 Mn | 65.50 Mn |
| 7 | Sonos | 1.95 Bn | 852.84 Mn | 189.31 Mn | 120.98 Mn |
| 8 | Cricut | 1.84 Bn | 746.53 Mn | 108.88 Mn | 212.81 Mn |
| 9 | Millerknoll | 1.49 Bn | 787.72 Mn | 385.30 Mn | 70.04 Mn |
| 10 | GoPro | 148.14 Mn | 120.88 Mn | 31.66 Mn | 171.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 171.23 Mn |
| Mar 31, 2026 | 163.21 Mn |
| Dec 31, 2025 | 158.58 Mn |
| Sep 30, 2025 | 158.93 Mn |
| Jun 30, 2025 | 157.84 Mn |
| Mar 31, 2025 | 156.44 Mn |
| Dec 31, 2024 | 153.11 Mn |
| Sep 30, 2024 | 153.74 Mn |
| Jun 30, 2024 | 152.50 Mn |
| Mar 31, 2024 | 151.09 Mn |
| Dec 31, 2023 | 153.35 Mn |
| Sep 30, 2023 | 152.41 Mn |
| Jun 30, 2023 | 154.56 Mn |
| Mar 31, 2023 | 155.40 Mn |
| Dec 31, 2022 | 178.28 Mn |
| Sep 30, 2022 | 173.18 Mn |
| Jun 30, 2022 | 176.86 Mn |
| Mar 31, 2022 | 188.74 Mn |
| Dec 31, 2021 | 163.18 Mn |
| Sep 30, 2021 | 162.75 Mn |
GoPro Shares Outstanding (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=GPRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GPRO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=GPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();